Real-world impact of quitline interventions for provider-referred smokers.

Background: The healthcare provider-referral quitline model has potential to help identify and connect more smokers to effective cessation services as compared to the self-referral model alone. However, research is limited as to whether provider-referred smokers, who may have more barriers to quitting, can have similar rates of quit success using traditional quitline interventions as self-referred smokers.

Purpose: To (1) determine how provider-referred smokers may differ from self-referred smokers in their demographics, service utilization, and quit rates and (2) quantify the impact of traditional quitline services on provider-referred smokers' ability to quit.

Who underreports smoking on birth records: a Monte Carlo predictive model with validation.

Background: Research has shown that self-reports of smoking during pregnancy may underestimate true prevalence. However, little is known about which populations have higher rates of underreporting. Availability of more accurate measures of smoking during pregnancy could greatly enhance the usefulness of existing studies on the effects of maternal smoking offspring, especially in those populations where underreporting may lead to underestimation of the impact of smoking during pregnancy.